ሰው

About

ሰው helps detect potentially inflammatory or hate-related terms while users type in web text 
  fields.                                                                                     
                                                                                              
  It uses a curated lexicon based on CIR’s inflammatory keyword research for Ethiopia-focused 
  online language contexts (including English, Amharic, Afaan Oromo, and Tigrigna terms). When
  a flagged term appears, the extension highlights it and provides a short reason so users can
  revise wording before posting.                                                              
                                                                                              
  Key features:                                                                               
  - Real-time detection while typing                                                          
  - On-page visual highlights and threat summary                                              
  - Per-site enable/disable controls                                                          
  - Local history and page-level stats                                                        
  - Optional “Suggest a Term” form for missing entries                                        
                                                                                              
  Privacy:                                                                                    
  - Text analysis is performed locally in the browser                                         
  - Typed page content is not sent to our backend for analysis                                
  - Only data entered in the optional Suggest form is sent when the user submits it